Mobile AI workshop and associated challenges, 5th edition
Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2025 Challenge: Report-
[pdf]
[bibtex]@InProceedings{Ignatov_2025_CVPR, author = {Ignatov, Andrey and Perevozchikov, Georgy and Timofte, Radu and Zhang, Zhiyu and Gao, Tianxiao and Yang, Yukun and Zhu, Shiai and Wang, Shihao and Yoon, Kihwan and Gankhuyag, Ganzorig and Moon, Hyeon-Cheol and Jeong, Taehyun and Kim, Yumi and Lee, Suhyeon and Baek, Jaehun and Jeong, Jinwoo and Park, Eunjun and Lee, Jun and Lee, Heejun and Kim, Sungjei and Zhang, Dafeng and Yang, Yong and Cheol, Heo Myeong and Park, Yonghyun and Jeong, Jooho and Kim, Wontae and Lee, Kanghwan and Zhang, Diankai and Wu, Biao and Zheng, Chengjian and Liu, Shaoli and Gao, Si and Wang, Ning and Wang, Mingshen and Zhang, Zhao and Zhao, Suiyi and Guan, Jinhan and Wang, Bo and Luo, Yan}, title = {Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2025 Challenge: Report}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1908-1921} }
Cycle Training with Semi-Supervised Domain Adaptation: Bridging Accuracy and Efficiency for Real-Time Mobile Scene Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Phan-Nguyen_2025_CVPR, author = {Phan-Nguyen, Huu-Phong and Dao, Anh and Nguyen, Tien-Huy and Quang, Tuan and Tran, Huu-Loc and Nguyen-Nhu, Tinh-Anh and Pham, Huy-Thach and Nguyen, Quan and Le, Hoang and Dinh, Quang-Vinh}, title = {Cycle Training with Semi-Supervised Domain Adaptation: Bridging Accuracy and Efficiency for Real-Time Mobile Scene Detection}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1888-1897} }
Robust 6DoF Pose Estimation Against Depth Noise and a Comprehensive Evaluation on a Mobile Dataset-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2025_CVPR, author = {Huang, Zixun and Yao, Keling and Zhao, Zhihao and Pan, Chuanyu and Yang, Allen}, title = {Robust 6DoF Pose Estimation Against Depth Noise and a Comprehensive Evaluation on a Mobile Dataset}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1848-1857} }
CDVS: Compressed Domain On Device Memory Efficient 8K Video SlowMo-
[pdf]
[bibtex]@InProceedings{Li_2025_CVPR, author = {Li, Jing and Wang, Chengyu and Sheikh, Hamid R. and Lee, SeokJun}, title = {CDVS: Compressed Domain On Device Memory Efficient 8K Video SlowMo}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1947-1953} }
RepFC: Universal Structural Reparametrization Block for High Performance, Lightweight Deep Neural Networks.-
[pdf]
[bibtex]@InProceedings{Sampath_2025_CVPR, author = {Sampath, Shambhavi Balamuthu and Fernando, Judeson Anthony and Thoma, Moritz and Fasfous, Nael and Frickenstein, Lukas and Mori, Pierpaolo and Vemparala, Manoj Rohit and Frickenstein, Alexander and Schlichtmann, Ulf and Stechele, Walter}, title = {RepFC: Universal Structural Reparametrization Block for High Performance, Lightweight Deep Neural Networks.}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1858-1866} }
FLAR-SVD: Fast and Latency-Aware Singular Value Decomposition for Model Compression-
[pdf]
[supp]
[bibtex]@InProceedings{Thoma_2025_CVPR, author = {Thoma, Moritz and Villasante, Jorge and Aghajanzadeh, Emad and Sampath, Shambhavi Balamuthu and Mori, Pierpaolo and Groetzinger, Maximilian and Dylkin, Daniil and Vemparala, Manoj-Rohit and Fasfous, Nael and Frickenstein, Alexander and Mueller-Gritschneder, Daniel and Schlichtmann, Ulf}, title = {FLAR-SVD: Fast and Latency-Aware Singular Value Decomposition for Model Compression}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1898-1907} }
PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Augustin_2025_CVPR, author = {Augustin, Maximilian and Sarwar, Syed Shakib and Elhoushi, Mostafa and Li, Yuecheng and Zhang, Sai Qian and De Salvo, Barbara}, title = {PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1867-1877} }
Compressed Domain Multiframe Processing-
[pdf]
[bibtex]@InProceedings{Wang_2025_CVPR, author = {Wang, Chengyu and Li, Jing and Kumar, Saurabh and Lee, Seok-Jun and Sheikh, Hamid}, title = {Compressed Domain Multiframe Processing}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1954-1963} }
ActNAS : Generating Efficient YOLO Models using Activation NAS-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sah_2025_CVPR, author = {Sah, Sudhakar and Kumar, Ravish and Ganji, Darshan C. and Saboori, Ehsan}, title = {ActNAS : Generating Efficient YOLO Models using Activation NAS}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1839-1847} }
RGB Photo Enhancement on Mobile GPUs, Mobile AI 2025 Challenge: Report-
[pdf]
[bibtex]@InProceedings{Ignatov_2025_CVPR, author = {Ignatov, Andrey and Perevozchikov, Georgy and Timofte, Radu and Pan, Wu and Wang, Song and Zhang, Dong and Ran, Zhao and Li, Xiaochen and Ju, Shichang and Zhang, Diankai and Wu, Biao and Liu, Shaoli and Gao, Si and Zheng, Chengjian and Wang, Ning and Feng, Yi and Wan, Cailu and Wu, Xiangji and Yan, Hailong and Li, Ao and Zhang, Xiangtao and Liu, Zhe and Zhu, Ce and Zhang, Le and Zhou, Jinjie and Lu, Yang and Duo, Feng and Deng, Runhua and Chen, Xuanyu and Xie, Shuhui and Xiao, Guojie and Wang, Zhifeng and Peng, Long and Jiang, Aiwen}, title = {RGB Photo Enhancement on Mobile GPUs, Mobile AI 2025 Challenge: Report}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1922-1933} }
Learned Smartphone ISP on Mobile GPUs, Mobile AI 2025 Challenge: Report-
[pdf]
[bibtex]@InProceedings{Ignatov_2025_CVPR, author = {Ignatov, Andrey and Perevozchikov, Georgii and Timofte, Radu and Li, Cheng and Liu, Lian and Cao, Jun and Sun, Heng and Pan, Wu and Wang, Song and Yu, KeQiang and Liu, Shuo and He, HongQin and Dong, ZhenHao and Chen, JianKe and Hao, DeJun and Yu, Keqiang and Wang, Tingniao and Zhou, Xiaoqing and Zhang, Dong and Zhang, Chunxia and Chen, Jianke and Hao, Dejun and He, Jianguang and Yan, Hailong and Li, Ao and Zhang, Xiangtao and Liu, Zhe and Zhu, Ce and Zhang, Le and Arhire, Andrei and Liu, Shuo and Seo, Junpyo and Dong, Zhenhao and Chen, Jianke and Xie, Fen and Fang, Xiuzhi and Wu, Chen and Wang, Zhangsheng and Zhang, Pengbo and Huang, Jiazi}, title = {Learned Smartphone ISP on Mobile GPUs, Mobile AI 2025 Challenge: Report}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1934-1946} }
Learned Lightweight Smartphone ISP with Unpaired Data-
[pdf]
[arXiv]
[bibtex]@InProceedings{Arhire_2025_CVPR, author = {Arhire, Andrei and Timofte, Radu}, title = {Learned Lightweight Smartphone ISP with Unpaired Data}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1878-1887} }